TrendBio

Top 40

View all ›

BACKFILLED Code and industry signals are partial for backfilled days.

Rank 1

Structural bio & protein design

Conditioned generators steer molecule, protein and RNA design toward explicit objectives

Recent preprints and publications pair diffusion, language-model and reinforcement learning generators with explicit design objectives across small molecules,…

8 preprints · 6 published · ↑ 4.5× vs 4-wk avg
Rank 2

Structural bio & protein design

Computational screening and generative design narrow candidate spaces before experimental…

Large candidate spaces for binders and drug targets are now pre-filtered computationally before experimental validation.

4 preprints · 2 published · ↑ 3.0× vs 4-wk avg
Rank 3

ML / AI methods

ML models link tissue-level histology and spatial profiles to clinical outcomes

Precomputed tumor microenvironment resources and outcome-oriented models now address tissue features tied to recurrence, survival, and immunotherapy response.

6 preprints · 7 published · ↑ 2.8× vs 4-wk avg
Rank 4

Single-cell

Linking single-cell chromatin and spatial context to regulatory inference

Multi-omic and spatial single-cell methods now aim to tie regulatory models to chromatin, neighborhood and communication context, not expression alone.

14 preprints · 8 published · ↑ 2.7× vs 4-wk avg
Rank 5

Genomics

Computational assessment of variant effects across stability, dosage, and development

Recent work quantifies variant consequences via clinical calibration, interactome free-energy, molecular dynamics, and tissue-level dosage metrics.

2 preprints · 3 published · ↑ 2.7× vs 4-wk avg
Rank 6 Reusable software layers onto proteomics, peptide, and ortholog resources↑ 2.7×Tools & infrastructureRank 7 Computational tools turning bulk omics and microbiome data into interpretable features↑ 2.3×ML / AI methodsRank 8 ML models predict immune receptor binding, self-association and HLA presentation↑ 2.4×ML / AI methodsRank 9 Learned multimodal and graph representations for protein and RNA prediction↑ 2.2×ML / AI methodsRank 10 Conformational and protonation states set function across GumK, MotAB, nsp16, and PL42↑ 2.3×Structural bio & protein designRank 11 Dynamical models treat cellular organization as a property of time-evolving behavior↑ 2.3×Systems biologyRank 12 Single-cell atlases localize genetic risk and developmental programs to cell types↑ 2.1×Single-cellRank 13 Latent spaces model single-cell perturbation responses and cell representations↑ 2.1×Single-cellRank 14 Low-input RNA profiling resolves heterogeneity in drug resistance and differentiation↑ 2.0×Single-cellRank 15 Multi-metric benchmarking of RNA-seq tools for TEs, lncRNAs and rRNA modifications↑ 2.0×ML / AI methodsRank 16 Quantifying chimeric, isoform, and single-transcript RNA expression with new tools↑ 1.8×TranscriptomicsRank 17 Mechanistic models tie molecular interfaces and tumor feedback to emergent behavior↑ 1.9×Systems biologyRank 18 Benchmarks show which inputs control quality in cryo-ET and complex structure prediction↑ 1.6×Structural bio & protein designRank 19 Integrating regulatory, metabolic, and spectral data to predict cellular properties↑ 1.5×Systems biologyRank 20 Genetic variants shape DNA methylation and 3D genome architecture in brain and tissues↑ 1.6×Epigenomics